Triple
T9223411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laichingen |
E221618
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Feldstetten
Feldstetten is a village in the Swabian Alb region of Baden-Württemberg, Germany, that forms part of the town of Laichingen.
|
E842949
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Feldstetten | Statement: [Laichingen, hasSubdivision, Feldstetten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Feldstetten Context triple: [Laichingen, hasSubdivision, Feldstetten]
-
A.
Vaterstetten
Vaterstetten is a municipality in the district of Ebersberg near Munich in Bavaria, Germany, known as a residential suburb with strong transport links to the Bavarian capital.
-
B.
Stetten
Stetten is a locality within the town of Lichtenfels in the German state of Bavaria.
-
C.
Hettstadt
Hettstadt is a small municipality in the Würzburg district of Bavaria, Germany, known for its rural character and proximity to the city of Würzburg.
-
D.
Riedlingen
Riedlingen is a small historic town in the state of Baden-Württemberg in southern Germany, known for its well-preserved medieval old town on the Danube River.
-
E.
Friedlingen
Friedlingen is a district of the German town Weil am Rhein, located in the far southwest of Baden-Württemberg near the borders with France and Switzerland.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Feldstetten Triple: [Laichingen, hasSubdivision, Feldstetten]
Generated description
Feldstetten is a village in the Swabian Alb region of Baden-Württemberg, Germany, that forms part of the town of Laichingen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Feldstetten Target entity description: Feldstetten is a village in the Swabian Alb region of Baden-Württemberg, Germany, that forms part of the town of Laichingen.
-
A.
Vaterstetten
Vaterstetten is a municipality in the district of Ebersberg near Munich in Bavaria, Germany, known as a residential suburb with strong transport links to the Bavarian capital.
-
B.
Stetten
Stetten is a locality within the town of Lichtenfels in the German state of Bavaria.
-
C.
Hettstadt
Hettstadt is a small municipality in the Würzburg district of Bavaria, Germany, known for its rural character and proximity to the city of Würzburg.
-
D.
Riedlingen
Riedlingen is a small historic town in the state of Baden-Württemberg in southern Germany, known for its well-preserved medieval old town on the Danube River.
-
E.
Friedlingen
Friedlingen is a district of the German town Weil am Rhein, located in the far southwest of Baden-Württemberg near the borders with France and Switzerland.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca83ec8db08190a9110df8232885d2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda7903208190b4e29a1591aab78a |
completed | April 1, 2026, 8:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cb039ff0819099ae19420cc1987a |
completed | April 5, 2026, 8:50 p.m. |
| NEDg | Description generation | batch_69d2cd242ed8819097895cb15cbb5d47 |
completed | April 5, 2026, 8:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2d1204f008190a9349c071c1e8d19 |
completed | April 5, 2026, 9:16 p.m. |
Created at: March 30, 2026, 7:28 p.m.